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caret: Classification and Regression Training

Misc functions for training and plotting classification and regression models.

Version:7.0-1
Depends:ggplot2,lattice (≥ 0.20), R (≥ 3.2.0)
Imports:e1071,foreach, grDevices, methods,ModelMetrics (≥ 1.2.2.2),nlme,plyr,pROC,recipes (≥ 0.1.10),reshape2, stats, stats4, utils,withr (≥ 2.0.0)
Suggests:BradleyTerry2,covr,Cubist,dplyr,earth (≥ 2.2-3),ellipse,fastICA,gam (≥ 1.15),ipred,kernlab,klaR,knitr,MASS,Matrix,mda,mgcv,mlbench,MLmetrics,nnet,pamr,party (≥ 0.9-99992),pls,proxy,randomForest,RANN,rmarkdown,rpart,spls,superpc,testthat (≥ 0.9.1),themis (≥ 0.1.3)
Published:2024-12-10
DOI:10.32614/CRAN.package.caret
Author:Max KuhnORCID iD [aut, cre], Jed Wing [ctb], Steve Weston [ctb], Andre Williams [ctb], Chris Keefer [ctb], Allan Engelhardt [ctb], Tony Cooper [ctb], Zachary Mayer [ctb], Brenton Kenkel [ctb], R Core Team [ctb], Michael Benesty [ctb], Reynald Lescarbeau [ctb], Andrew Ziem [ctb], Luca Scrucca [ctb], Yuan Tang [ctb], Can Candan [ctb], Tyler Hunt [ctb]
Maintainer:Max Kuhn <mxkuhn at gmail.com>
BugReports:https://github.com/topepo/caret/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/topepo/caret/
NeedsCompilation:yes
Citation:caret citation info
Materials:NEWS
In views:HighPerformanceComputing,MachineLearning,Spatial
CRAN checks:caret results

Documentation:

Reference manual:caret.html ,caret.pdf
Vignettes:A Short Introduction to the caret Package (source,R code)

Downloads:

Package source: caret_7.0-1.tar.gz
Windows binaries: r-devel:caret_7.0-1.zip, r-release:caret_7.0-1.zip, r-oldrel:caret_7.0-1.zip
macOS binaries: r-release (arm64):caret_7.0-1.tgz, r-oldrel (arm64):caret_7.0-1.tgz, r-release (x86_64):caret_7.0-1.tgz, r-oldrel (x86_64):caret_7.0-1.tgz
Old sources: caret archive

Reverse dependencies:

Reverse depends:adabag,AntAngioCOOL,AutoStepwiseGLM,ClassificationEnsembles,criticality,dbcsp,JQL,MantaID,maPredictDSC,MLSeq,MRReg,MSclassifR,NumericEnsembles,RandPro,stacking
Reverse imports:AdaSampling,aggTrees,aLFQ,ampir,animalcules,ASML,assignPOP,autoBagging,BG2,bigPLScox,BioM2,BioMoR,BLRShiny,BLRShiny2,BMisc,bnviewer,bspcov,caretEnsemble,caretForecast,caretSDM,CAST,causalQual,ccar3,CCI,cdgd,CEEMDANML,CimpleG,classifierplots,climodr,ClinicalUtilityRecal,CMShiny,coca,combat.enigma,CondiS,ConfusionTableR,ContaminatedMixt,CopulaCenR,Coxmos,CPSM,cramR,CSCNet,CTShiny,CTShiny2,CytoGLMM,cytominer,CytoProfile,daltoolbox,DamiaNN,DaMiRseq,datafsm,DebiasInfer,DeepLearningCausal,dfr,dissever,DMTL,driveR,DSAM,dtComb,E2E,Ecume,EMgaussian,EpidigiR,EpiSemble,evalITR,fairness,FAST.R,FastJM,FastRet,FeatureTerminatoR,FFTrees,flevr,FLORAL,FSinR,FuncNN,FunctanSNP,GB5mcPred,geomod,GINAX,glmtrans,GPCMlasso,GWAS.BAYES,HaploCatcher,hdcate,heimdall,HTRX,hyper.gam,hypervolume,icardaFIGSr,idiolect,iForecast,iimi,ImFoR,ImML,immunaut,imt,ImVol,ipd,iSFun,jazzPanda,JMH,KCSKNNShiny,KCSNBShiny,kfa,KMEANS.KNN,KNNShiny,KnowSeq,l1spectral,LassoGEE,LCCkNN,less,lilikoi,LncFinder,loadeR,LPRelevance,m2b,MAI,MAIT,mand,manydata,manymodelr,matrans,maxEff,mbg,MBMethPred,mcca,metabCombiner,MetabolomicsBasics,metaEnsembleR,meteo,MethScope,mgwrsar,MicrobTiSDA,mikropml,mistyR,MLDataR,MLmorph,mlmts,mlquantify,mlspatial,MNLR,mpae,MRFcov,MSiP,mtlgmm,multiclassPairs,MUVR2,mxnorm,NBShiny,NBShiny2,NBShiny3,nbTransmission,NEONiso,nestedcv,NeuralSens,noisemodel,nonet,NonProbEst,npcs,OddsPlotty,omu,OncoSubtype,OpEnHiMR,opImputation,oRaklE,outliers.ts.oga,PAGE,panelWranglR,pathMED,PDATK,PEAXAI,peptoolkit,POMA,pomodoro,powerPLS,pprof,preciseTAD,PredPsych,predtoolsTS,priorityelasticnet,pRoloc,promor,RadialVisGadgets,RankPCA,RaSEn,RCTrep,refitME,RelimpPCR,REMP,RGCCA,RISCA,rmda,roclab,roseRF,rQSAR,RStoolbox,rTLsDeep,Rtropical,SAiVE,scAnnotatR,scGPS,scR,sentometrics,sgs,SHAPBoost,shinyr,skedastic,SLEMI,smdi,sMTL,SoftBart,soilassessment,spect,sphereML,SPONGE,squallms,sregsurvey,SSGL,ssr,stabiliser,stepPenal,studyStrap,SubCellBarCode,supersigs,survcompare,survivalSL,SVMDO,swag,text2emotion,TOP,TrafficBDE,transcriptR,tRigon,TSEAL,TSGS,varEst,VIMPS,waterquality,WaveletGBM,WaveletKNN,WaveletLSTM,WaveletML,waves,WMAP,writeAlizer,WRTDStidal,XAItest
Reverse suggests:AppliedPredictiveModeling,archetyper,autotab,aVirtualTwins,basemodels,biomod2,biplotEZ,breakDown,broom,bundle,butcher,cat2cat,cellity,ciu,clinpubr,cobalt,condvis2,corrselect,counterfactuals,DataSimilarity,discSurv,DNAshapeR,doParallel,doSNOW,easyalluvial,ENMTools,EventDetectR,FastImputation,fdm2id,fmeffects,fullRankMatrix,fuseMLR,GAparsimony,gcplyr,genefu,idm,iml,imputeR,Infusion,iprior,latrend,leakr,LimROTS,LKT,lulcc,metaforest,metamicrobiomeR,MLInterfaces,mlr,mlr3filters,mlr3spatiotempcv,mmb,NeuralNetTools,NHSRdatasets,omicsTools,pcvr,pdp,pmml,posterior,pre,predfairness,purgeR,randomForestSRC,regsem,rmlnomogram,rScudo,sageR,SAMtool,SETA,sits,SlimR,SmartMeterAnalytics,spatialEco,spectacles,spFSR,SpoMAG,ssc,strip,subsemble,SuperLearner,SurvMetrics,TBSignatureProfiler,tornado,UBayFS,varPro,vetiver,vivid,waywiser,wconf
Reverse enhances:bestglm,prediction,vip

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